Machine Learning Research Engineer - Optiver : Job Details

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Optiver is seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role offers the opportunity to significantly impact Machine Learning infrastructure, training, and inference challenges to advance our trading strategies.

• Conduct innovative research on deep learning for price forecasting
• Build scalable and robust training and inference pipelines for deep learning
• Enhance open-source deep learning frameworks and their functionalities
• Collaborate closely with researchers and engineers
• Develop an in-depth understanding of trading systems

Join a culture of collaboration and excellence, surrounded by curious thinkers and problem-solvers. Thrive in a supportive, high-performing environment with talented colleagues tackling tough challenges in financial markets.

Additional benefits include:

• Work alongside professionals from over 40 countries
• Highly competitive compensation package
• Global profit-sharing and performance bonuses
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days plus holidays
• Office perks like meals, social events, clubs, and sports leagues

• PhD or equivalent experience in a relevant field
• Expertise in deep learning models with PyTorch, JAX, or TensorFlow
• Proficient in Python programming
• Experience with large data sets in research

• Experience with JAX ecosystem (XLA, Flax, etc.)
• GPU programming experience (CUDA, Triton, Pallas)
• Open-source contributions in data science and ML
• Strong publication record (NeurIPS, ICML, etc.)
• Deep understanding of ML frameworks internals
• Experience with distributed training
• C++ programming skills

Optiver is a tech-driven trading firm and global market maker, trusted across 70+ exchanges. Our mission is to improve markets by providing liquidity, transparency, and stability, ensuring efficient markets for all participants.

We are committed to diversity and inclusion.

Note: The base salary for this role is estimated at $200,000 USD, with final offers based on experience and performance. Compensation includes potential bonuses and benefits.